Many organisations are seeing increasing volumes of data needing to be shared and substantial custom system development to cope with it.
This course will explain how knowledge graphs can offer solutions to these problems: including shared data and data descriptions; peta-byte scalability; and distributed queries; all built on World Wide Web Consortium standards.
Learn how to:
Write semantic queries using SPARQL
Share your data and its descriptions
Think about the meaning of data in new ways
Use the power of RDF to represent any information
Effortlessly integrate data from multiple sources
Leverage proven W3C standards to deliver advanced capabilities without the risk of a proprietary solution
Available datesDates coming soon
Our team is happy to discuss other options with you.
Contact us at firstname.lastname@example.org and mention ref:
Private tuition and large-group discounts are also available. Find out more here.
Who should take this workshop?
If you are interested in gaining a basic understanding of how knowledge graphs can address the challenges of the data and AI readiness, this is the course for you!
This is an introductory Knowledge Graph course but in order for you to beneﬁt from it, you should have a basic understanding of how the world wide web works. Prior exposure to XML is helpful but not essential.
On this workshop you will learn about:
- The data challenges facing many organisations today
- How knowledge graphs can address these challenges
- Linked data and the semantic web
- What a graph is and how it compares to a relational database
- Knowledge graph representation - Resource Description Framework (RDF)
- Representations of RDF: N-Triples, Turtle, TriG, N-Quads, JSON-LD, RDFa, RDF/XML
- Knowledge Graph architecture - the Semantic Layer Cake
- Querying knowledge graphs with SPARQL
- An overview of some advanced topics: FAIR data principles, RDFS, SHACL, and OWL